Volume 20 Issue 2
Feb.  2022
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Article Navigation >  Chinese Journal of General Practice  > 2022  >  20(2): 220-223
JIN Xiao-sheng, CHEN Lu-xi, LI Rong-zhou, JI Ting-ting, YU Wei-lai, YANG Qing. Establishment and evaluation of risk nomgram model for in-stent restenosis after stent implantation in metaphase and advanced oesophageal carcinoma[J]. Chinese Journal of General Practice, 2022, 20(2): 220-223. doi: 10.16766/j.cnki.issn.1674-4152.002317
Citation: JIN Xiao-sheng, CHEN Lu-xi, LI Rong-zhou, JI Ting-ting, YU Wei-lai, YANG Qing. Establishment and evaluation of risk nomgram model for in-stent restenosis after stent implantation in metaphase and advanced oesophageal carcinoma[J]. Chinese Journal of General Practice, 2022, 20(2): 220-223. doi: 10.16766/j.cnki.issn.1674-4152.002317
shu

Establishment and evaluation of risk nomgram model for in-stent restenosis after stent implantation in metaphase and advanced oesophageal carcinoma

doi: 10.16766/j.cnki.issn.1674-4152.002317
  • 1.

    Department of Gastroenterology, Ruian People's Hospital, Ruian, Zhejiang 325200, China

Funds:

 LY19H070014

 2020033

  • Received Date: 2020-11-27
    Available Online: 2022-03-04
    Abstract
  •   Objective  To analyse the related factors of in-stent restenosis (ISR) after stent implantation in patients with metaphase and advanced oesophageal carcinoma and to establish and evaluate an individual nomogram model for predicting the risk of ISR.  Methods  From May 2015 to June 2019, 160 patients with metaphase and advanced oesophageal carcinoma who were diagnosed and hospitalised for stent implantation in the Department of Gastroenterology in Ruian People's Hospital were selected as participants. According to the occurrence of ISR after stent implantation, the patients were divided into post-operative ISR group (n=26) and non-postoperative ISR group (n=134). A logistic regression model was used to analyse the independent risk factors of ISR after stent implantation. A nomogram model for predicting the risk of ISR after stent implantation was developed using nomogram online website. The receiver operating characteristic curve (ROC), calibration curve and Hosmer-Lemeshow goodness-of-fit test were used to evaluate the nomogram model.  Results  The logistic regression model showed that age, oesophageal fistula and clinical stage were independent risk factors for ISR after stent implantation in patients with metaphase and advanced oesophageal carcinoma (all P < 0.05), and radiotherapy after stent implantation was a protective factor for ISR risk (P < 0.05). ROC results showed that the area under the curve (AUC) for predicting the risk of ISR after stent implantation was 0.869. The calibration curve was a straight line with a slope close to 1, and Hosmer-Lemeshow goodness-of-fit test showed χ2=5.661, P=0.685.  Conclusion  Based on age, radiotherapy after stent implantation, oesophageal fistula and clinical stage, the nomogram model for predicting the risk of ISR after stent implantation for metaphase and advanced oesophageal carcinoma has good discrimination and accuracy.

     

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